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Journal of Freshwater Ecology Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/tjfe20 The effects of dams on longitudinal variation in river food webs Ivor Grownsa, Bruce Chessmanb, Simon Mitrovicbc & Doug Westhorpea a New South Wales Office of Water, Armidale, New South Wales 2351, Australia b New South Wales Office of Environment and Heritage, Parramatta, Sydney, New South Wales 2124, Australia c Centre for Environmental Sustainability, School of the Environment, University of Technology, Ultimo, Sydney, New South Wales 2007, Australia Click for updates Published online: 09 Sep 2013.
To cite this article: Ivor Growns, Bruce Chessman, Simon Mitrovic & Doug Westhorpe (2014) The effects of dams on longitudinal variation in river food webs, Journal of Freshwater Ecology, 29:1, 69-83, DOI: 10.1080/02705060.2013.832423 To link to this article: http://dx.doi.org/10.1080/02705060.2013.832423
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The effects of dams on longitudinal variation in river food webs Ivor Grownsa*, Bruce Chessmanb, Simon Mitrovicb,c and Doug Westhorpea
aNew South Wales Office of Water, Armidale, New South Wales 2351, Australia; bNew South Wales Office of Environment and Heritage, Parramatta, Sydney, New South Wales 2124, Australia; cCentre for Environmental Sustainability, School of the Environment, University of Technology, Ultimo, Sydney, New South Wales 2007, Australia (Received 1 April 2013; accepted 4 July 2013)
We examined the effects of two dams on longitudinal variation of riverine food webs using stable isotope and gut contents analyses along four rivers in the Hunter Valley in eastern Australia. Longitudinal 15N enrichment was observed in most invertebrate taxa and food sources but significant longitudinal variation was rare for 13C, and com- position of gut contents of invertebrate taxa did not vary significantly with longitudinal position. Most invertebrates and food sources were more 15N-enriched at sites immedi- ately downstream of the dams than expected from their upstream longitudinal position, a result not mirrored by gut contents and 13C. Enrichment of 15N downstream may be attributed to altered water quality as a result of impoundment but further research is necessary to elucidate whether physico-chemical riverine processes or trophic mecha- nisms are responsible. Our observations regarding the influence of dams on isotope ratios are contrary to the few existing studies, suggesting the small volumes relative to annual inflows of dams in the present study limit downstream impacts by maintaining aspects of flow variability. Keywords: river regulation; tail waters; dams; water resource management; aquatic macroinvertebrates; stable isotopes
Introduction Understanding longitudinal variation in the contributions of different energy sources to river food webs is important for both ecological theory and river management (Gawne et al. 2007). The River Continuum Concept of Vannote et al. (1980) suggests that the dominant food resources for primary consumers vary in a predictable manner from head- water streams to large rivers. Many authors suggest that allochthonous carbon, derived from terrestrial inputs, is the major source of energy in forested headwater streams Downloaded by [University of Technology Sydney] at 18:10 07 April 2015 (e.g. Gessner et al. 1999; Reid et al. 2008) and that the contribution of autochthonous car- bon increases with river size (Finlay 2001; Hadwen et al. 2010a). However, natural longi- tudinal patterns of energy flow can be disrupted by the presence of dams in a river system. The Serial Discontinuity Concept (Stanford & Ward 2001) stresses the recovery of eco- system processes downstream of major longitudinal disruptions with the natural addition of tributary inputs. Nevertheless, downstream recovery can also take place without major tributary contributions (e.g. Growns et al. 2009). Stable isotope analysis (SIA) has commonly been used to reconstruct food webs and energy flow from microbes, plants and detritus to primary and secondary consumers (Peterson & Fry 1987; Hershey et al. 2006). In many ecosystems, individual food sources
*Corresponding author. Email: [email protected]
Ó 2013 Taylor & Francis 70 I. Growns et al.
have different ratios of 13C:12C and 15N:14N; therefore, food assimilation by animals can be inferred from the isotopic signatures of their tissues (Fry 1991). However, when sour- ces have similar or overlapping isotope ratios it can be difficult to estimate their relative contributions. Gut contents analysis (GCA) is also frequently used to investigate diets by revealing the food ingested during a short period prior to sampling (e.g. Whitledge & Rabeni 1997; Mantel et al. 2004; Li & Dudgeon 2008), whereas SIA can indicate which prey items are assimilated in the medium to long term (Perga & Gerdeaux 2005). Therefore, the two techniques are complementary means of assessing trophic linkages (Post 2002). The effects of dams on the structure and function of river food webs are poorly known (Power & Dietrich 2002) and although some studies have investigated the effects, they show contrasting results. Angradi (1993) observed enrichment of 13C and depletion of 15N in epilithon, enrichment of 13C and 15N in seston and a primary consumer, and enrich- ment of 15N in macrophytes compared to a nearby unregulated tributary. It was suggested that the changes in d13C were due to a decreasing contribution of phytoplankton with downstream distance, but they could offer no explanation for the enrichment of 15Nin macrophytes. In contrast, Angradi (1994) observed depletion of 13C and 15N in seston in a downstream direction and no longitudinal variation in the isotopic composition of amphipods or fish for 25 km. Shannon et al. (2001) observed enrichment of 13C in ben- thic algae, macroinvertebrates and fish up to 350 km downstream of Glen Canyon Dam but no longitudinal trends in d15N for the same groups. Doi et al. (2008) used isotope sig- natures of phytoplankton to suggest that they contributed to the downstream food webs for up to 10 km. Overall, while these studies evaluated differences in energy flow between regulated and unregulated rivers, they did not generally account for potential longitudinal patterns in stable isotope composition. Therefore, in order to evaluate natural variability aside from the effect of dams at various downstream locations, it is important to account for longitudinal variation in food-web dynamics simultaneously in regulated and natural, unregulated rivers. In this study, we predicted that the presence of dams would affect invertebrate diets and the isotopic composition of invertebrates, and potential food sources in two regulated rivers. To assess this we used both SIA and GCA to determine the effects of dams on the longitudinal variation in d13C and d15N isotopic composition of food sources, primary consumers (and their gut contents) and invertebrate predators in regulated and unregu- lated rivers. We compared sites immediately downstream of dams with two unregulated rivers and unregulated sites upstream of the dams to determine whether dams influenced longitudinal variation in food-web dynamics. Downloaded by [University of Technology Sydney] at 18:10 07 April 2015
Methods Study sites We studied four tributaries of the Hunter River in New South Wales, Australia: the Allyn, the Chichester, the Paterson and the Williams rivers (Figure 1). These rivers rise on the Barrington Plateau at approximately 1500 m altitude and flow in a generally southeasterly direction. The region has primarily Carboniferous sedimentary and volcanic geology and a warm temperate climate (mean annual temperature of 18 C), with median annual rainfall of 1061–1278 mm concentrated in the austral summer ( 40% falling in January–March) but with high inter-annual variability. The upper reaches of each river lie in relatively undisturbed catchments in either a national park or state forest, whereas grazing and dairy Journal of Freshwater Ecology 71
Figure 1. Location of collection sites; numbers indicate reaches referred to in the text.
production are the major land uses along the lower reaches. The riparian vegetation in the lower reaches is dominated by native species including river bottlebrush (Callistemon sie- beri), river oak (Casuarina cunninghamiana) and spiky mat rush (Lomandra spp.) as well as exotic species including willows (Salix spp.) and giant reed (Arundo donax). Two dams were included in the study: Chichester Dam (built in 1921, 43 m height, Downloaded by [University of Technology Sydney] at 18:10 07 April 2015 21 106 m3 capacity) on the Chichester River which supplies water for domestic con- sumption and Lostock Dam (1971, 38 m height, 20 106 m3 capacity) on the Paterson River which supplies water for agricultural purposes (mainly irrigation). Both dams have a small operational capacity relative to annual inflow volume, so storage levels rarely fall below 80% and spills are frequent. They can develop thermal and oxygen stratification (particularly in summer because of their depth and consistently high storage levels) and discharge cold water to downstream river reaches through hypolimnetic outlets. Four sites, each a 100 m reach, were chosen on each of the Chichester, the Paterson and the Williams rivers and three on the Allyn River (Table 1, Figure 1). One site was selected in the sub-alpine headwaters of each river at 1300 to 1480 m altitude, except for the Allyn River where difficult terrain prevented access. A second site was established within the national park or state forest on the slope reaches of each river at 240–350 m. Downloaded by [University of Technology Sydney] at 18:10 07 April 2015 72 .Growns I. tal. et Table 1. Characteristics of sites identified in Figure 1.
Median annual River Reach number Longitude Latitude Altitude (m) Distance from source (km) Catchment area (km2) discharge (x106 m3)
Allyn 2 151 300 E32 100 S 310 17 56 9.1 Allyn 3 151 330 E32 220 S 90 52 241 27.2 Allyn 4 151 340 E32 270 S 37 66 292 39.6 Chichester 1 151 300 E32 40 S 1300 5 8 0.9 Chichester 2 151 350 E32 100 S 240 15 60 9.1 Chichester 3 (Dam) 151 420 E32 140 S 143 35 204 30.0 Chichester 4 151 430 E32 180 S 85 44 232 32.5 Paterson 1 151 250 E32 40 S 1480 2 2 0.7 Paterson 2 151 250 E32 110 S 350 19 52 7.4 Paterson 3 (Dam) 151 270 E32 200 S 141 51 260 25.2 Paterson 4 151 330 E32 310 S 25 107 453 28.7 Williams 1 151 290 E32 40 S 1360 3 3 1.4 Williams 2 151 320 E32 100 S 340 17 46 7.0 Williams 3 151 430 E32 180 S 90 51 203 24.4 Williams 4 151 460 E32 280 S 36 82 720 82.3 Modelled data from Stein et al. (2007). Journal of Freshwater Ecology 73
A third site was located immediately downstream of the Chichester and Lostock dams on the Chichester and the Paterson rivers, respectively, and at similar altitudes on the Allyn and the Williams rivers. A fourth site was established on each river at the most down- stream accessible location with both pools and riffles. The fourth site on the Williams River was considered to be unaffected by the Chichester Dam because 80% of its catch- ment area was unregulated.
Field sampling We collected invertebrates and potential food sources at each site between November 2008 and March 2009. All sites were only sampled once between those months and all material was collected on the same day at each site. New leaf growth of the dominant riparian vegetation was collected by hand. Biofilm samples were collected from the pools and riffles by scrubbing rocks in a 10-L bucket filled with filtered river water and the resulting suspension being filtered through a 250-mm mesh sieve with biofilm retained by a 25-mm mesh net. Benthic organic matter was collected by washing sediment with river water and retaining organic material on graded sieves as coarse particulate organic matter (CPOM, 2–5 mm) and fine particulate organic matter (FPOM, 0.25–2 mm). Samples of filamentous algae, if present, were collected by hand from rocks. Macroinvertebrates were collected from pools and riffles at each site with a 250-mm mesh dip net and by handpicking from rocks taken from the river bed. Representatives of the most abundant taxa at each site were immediately preserved in ethanol for GCA. Sam- ples for SIA were stored in plastic zip-lock bags and immediately placed on ice for at least 8 hours. This procedure allowed the invertebrates to void their guts, removing unassimi- lated material. Samples were frozen at 20 C upon return to the laboratory prior until further processing.
Gut contents analysis GCA followed the methods of Chessman (1986). Preserved invertebrates were identified to the lowest possible taxon using keys in Hawking (2000) and dissected individually under a stereomicroscope. A maximum of 10 individuals per taxa per site were examined, selected where possible to span a range of body sizes. Each specimen was washed with distilled water and, if necessary, adhering debris was removed with a small brush and for- ceps. Invertebrates were then dried with tissue and the thorax and abdomen were slit with fine forceps and needles. The anterior half of the digestive tract was removed, and its con-
Downloaded by [University of Technology Sydney] at 18:10 07 April 2015 tents were expelled into a droplet of distilled water on a microscope slide and distributed as uniformly as practical. A cover slip was placed over the droplet which was then scanned at magnifications of 100x–400x under a compound microscope. Food items were classified into seven categories: unidentifiable fine organics, fungi, planktonic algae, non-filamentous benthic algae (mostly diatoms), filamentous algae, plant material (wood and leaf fragments) and animals (invertebrate fragments). Inorganic material was not included in the analysis. The food categories observed in each digestive tract were ranked in the order of increasing abundance, assessed subjectively according to the area of the slide covered. Points were then awarded to each category by expressing its rank as a proportion of the sum of the ranks of all categories in the same specimen. The gut contents of 503 invertebrates from 30 taxa were examined but several of these were collected from only one or a few sites. Sixteen taxa were sufficiently abundant and distributed amongst enough sites to be included in the analysis (Table 2). Downloaded by [University of Technology Sydney] at 18:10 07 April 2015 74 .Growns I.